交通信息与安全2016，Vol.34Issue(6)：15-21,76,8.DOI:10.3963/j.issn 1674-4861.2016.06.003
基于交通运行指数的速度分布聚类与排放测算
A Clustering Analysis of Speed Distributions and Emission Estimation Based on Traffic Performance Index
靳秋思 1张远景 1宋国华 2程颖 3于雷2
作者信息
- 1. 黑龙江省城市规划勘测设计研究院 哈尔滨150040
- 2. 北京交通大学城市交通复杂系统理论与技术教育部重点实验室 北京100044
- 3. 北京市交通行业节能减排中心 北京100053
- 折叠
摘要
Abstract
Few efforts have been made to quantitatively analyze the relationship between traffic congestion index (TCI) and emissions in urban traffic networks.This study develops a method to derive speed distributions for TPI-specific traffic patterns based on massive floating car data (FCD).The relationship between speed and emission factors is quantified based on massive data of vehicle activity and emissions.After analyzing influencing factors of traffic performance index (TPI) and emission factors,speed distribution is identified as a bridging parameter between TPI and emission factors.In order to reduce the uncertainty of the TPbderived emission factors,a K-Means clustering method is applied to classify speed distributions of the TPI-specific traffic pattern by analyzing factors influencing speed distribution.It turns out that when sample data is clustered by road classes,weekdays/weekends,time periods (06:00-12:00,12:00-22:00 and 22:00-06:00),the coefficient of variation of speed distribution (CVSD) decrease by 10.1 ％,13.6 ％,and 14.6 ％,respectively and the coefficient of variation of emission factor (CVEF) decrease by 10.1％,13.4％,and 14.2％,respectively.Emission factors of the TPI-specific traffic pattern for different classes of roads are calculated under different clustering criteria.关键词
城市道路/浮动车数据/交通运行指数/速度分布/排放因子Key words
urban road/floating car data (FCD)/traffic performance index (TPI)/speed distribution/emission factor分类
交通工程引用本文复制引用
靳秋思,张远景,宋国华,程颖,于雷..基于交通运行指数的速度分布聚类与排放测算[J].交通信息与安全,2016,34(6):15-21,76,8.
